If you're a biologist here to use one of our models to quantify your assay results, check out Webtools above!

BTW, the picture and sculpture of an HIV virus above is by Luke Jerram and you can find more of his work here.

HIV Infection: I'm interested in quantitatively modeling the dynamics of HIV infection and treatment. Specific work includes kinetic models of receptor/coreceptor mediated viral entry, quantifying fusion inhibitor efficacy, and the stochasticity of HIV latency and recovery under anti-viral treatment.

Physics of Biological Assays: Many biological assays can be sensitive to stochastic and combinatoric effects, especially when these protocols involve small numbers of viruses, ligands, receptors, etc. I've created stochastic models of viral infection to inform new analysis techniques for infectivity assays such as the plaque assay, endpoint dilution assay, and luciferase reporter assay. Furthermore, I derived a kinetic model of fluorescent antibody binding in the FACS protocol and developed an automatic gating procedure to increase confidence in flow cytometry data.